987 resultados para Set-valued map
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A map titled "Plan of Operation against Cantigny" and dated 17 December 1918.
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A large map titled "Map of First Division Sector Coblenz-Bridgehead" dated 8 May 1919. The map is hand drawn.
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Lattice valued fuzziness is more general than crispness or fuzziness based on the unit interval. In this work, we present a query language for a lattice based fuzzy database. We define a Lattice Fuzzy Structured Query Language (LFSQL) taking its membership values from an arbitrary lattice L. LFSQL can handle, manage and represent crisp values, linear ordered membership degrees and also allows membership degrees from lattices with non-comparable values. This gives richer membership degrees, and hence makes LFSQL more flexible than FSQL or SQL. In order to handle vagueness or imprecise information, every entry into an L-fuzzy database is an L-fuzzy set instead of crisp values. All of this makes LFSQL an ideal query language to handle imprecise data where some factors are non-comparable. After defining the syntax of the language formally, we provide its semantics using L-fuzzy sets and relations. The semantics can be used in future work to investigate concepts such as functional dependencies. Last but not least, we present a parser for LFSQL implemented in Haskell.
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Map of Park Lawn Cemetery (which is off Bloor St. in Toronto). (This is a photocopy): Notes which have been penciled in are: “Sarah 1926”; “Eliza Lawrence, 1929” and “Eliza’s stone touching one of the big trees”, n.d.
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Map showing the Woodruff and Sanderson plots in the St. Catharines Cemetery (This is a photocopy), section P, division 9, April 9, 1932.
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Map showing the Woodruff and Sanderson plots in the St. Catharines Cemetery (This is a photocopy), section P, division 9, April 9, 1932.
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Map measuring 50 cm. x 80 cm. of Glen Ridge, City of St. Catharines by St. Catharines Improvement Company Ltd., n.d.
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Feature selection plays an important role in knowledge discovery and data mining nowadays. In traditional rough set theory, feature selection using reduct - the minimal discerning set of attributes - is an important area. Nevertheless, the original definition of a reduct is restrictive, so in one of the previous research it was proposed to take into account not only the horizontal reduction of information by feature selection, but also a vertical reduction considering suitable subsets of the original set of objects. Following the work mentioned above, a new approach to generate bireducts using a multi--objective genetic algorithm was proposed. Although the genetic algorithms were used to calculate reduct in some previous works, we did not find any work where genetic algorithms were adopted to calculate bireducts. Compared to the works done before in this area, the proposed method has less randomness in generating bireducts. The genetic algorithm system estimated a quality of each bireduct by values of two objective functions as evolution progresses, so consequently a set of bireducts with optimized values of these objectives was obtained. Different fitness evaluation methods and genetic operators, such as crossover and mutation, were applied and the prediction accuracies were compared. Five datasets were used to test the proposed method and two datasets were used to perform a comparison study. Statistical analysis using the one-way ANOVA test was performed to determine the significant difference between the results. The experiment showed that the proposed method was able to reduce the number of bireducts necessary in order to receive a good prediction accuracy. Also, the influence of different genetic operators and fitness evaluation strategies on the prediction accuracy was analyzed. It was shown that the prediction accuracies of the proposed method are comparable with the best results in machine learning literature, and some of them outperformed it.
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Notice that the Port Dalhousie and Thorold Railway map and plans have been certified by commissioners. This is signed “secretary”, n.d.
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Map of the Welland Canal including the store house and waste weir no.1, n.d.
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Map of the Welland Canal including the store house and waste weir no.1 drawn by Shamus A. Begly of Public Works, n.d.
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Map of measurements of lot no.186, Dec. 19, 1855.
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Map of measurements of lots no.185 and 186 by George Strohan, Dec. 29, 1855.
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List (11 pages, handwritten) of remarks upon the titles as set forth in the abstracts, n.d.
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Map measuring 28 cm. x 24 cm. showing the Walter H. Dickson land along the road from Blenheim, n.d.